H O M E | IICA

IDEAL-Gen.AI PLATFORM ENHANCEMENT PROJECT

ABOUT

Welcome to the Inter-institutional Collaborative Activities Teaching Development and Language Enhancement (IICA-TDLE) IDEAL-Gen.AI Platform Enhancement Project. A consortium of five participating universities led by Lingnan University (LU), with collaboration and funding from The Hong Kong University of Science and Technology (HKUST), The Chinese University of Hong Kong (CUHK), City University of Hong Kong (CityU) and in-kind support from the Hong Kong Polytechnic University (PolyU) will work together to advance the Instructional Design Enhanced Active Learning through Generative AI (IDEAL-Gen.AI) platform. This initiative builds on prior successes by introducing key enhancements, to deliver a dynamic, secure and multilingual platform that addresses evolving pedagogical approaches supported by AI.

THE

TEAM

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BENEFITS OF THE PROJECT

Leverages best practices internationally and adapted/aligned to the Hong Kong context;

Establishes a shared understanding around various historical and emergent terminology broadly captured under online learning and teaching (c.f. eLearning, blended learning, hybrid learning, hyflex learning, emergency remote teaching and learning, real-time online teaching and learning, etc.);

Ensures clarity of what constituents form the core components of online learning and teaching and in which Hong Kong modes of delivery (i.e., fully-online, various approaches to blended learning, curriculum models, etc.);

Enables more interoperability and collaboration across institutional projects based on a shared understanding and framework.

Adopts a proactive approach to ensuring QA specific to online learning and teaching driven from stakeholder goals and action plans rather reactive responses;

Promotes Hong Kong as a sector leader in this regard and in particular within the Greater Bay China area;

Establishes a sector wide framework that would make the collation of data related to the area of online learning and teaching more systematic and synergistic (and aligned to the QAC 3rd round audit theme).

PROJECT OUTCOMES

1.

Conduct systematic reviews of quality assurance (QA) processes for the purposes of establishing relevant benchmarking indicators, mechanisms and methodologic processes in VTL that are aligned and tailored to the local Hong Kong context;

2.

Identify and review existing governance and quality assurance frameworks and standards for virtual teaching and learning (VTL) from existing sources and evaluate whether these standards can be potentially employed or suitably modified to serve as frameworks specific to the relevant local Hong Kong context;

3.

Embed virtual teaching and learning (VTL) quality assurance (QA) standards cross-institutionally to ensure that these standards are adequately met and appropriately integrated into guided and professional best practices of VTL.